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Integration with IQue (Rekha Ramesh)
Ontology plays an important role in the evaluation of the quality of the question.
Input to IQue is lo.txt, ontology, and question.txt
Content level Alignment: (80.1 to 91.2) Cognitive level Alignment: (84.2 to 93.23) Non utility question: Alignment score:
Confusion matrix content alignment matrix LO alighment matrix
Important tag for question: topic, cognitive level, question type, concept
Validated by 3 teachers.
calculate alignment score between LO and Q pair calculate alignment score between AI and set of LO
set of concepts covered by LO. set of concepts covered by a question.
Questions to Rekha Ramesh: Q. Can this tool be available online and provide enough APIs to connect with other systems.
Q. How to represent syllabus in a better way? you said ontology, how to do that?
Q. What software did you use for syllabus processing to find the ontology
Q. What is TTM?
Q. Automatic tagging of the question, can I get the source code of your system? (QTagger)
ACM computer science curriculum (Sahami M. et al. 2012)
AIGen System:
Teacher training module is required for this system. Can you please share it?